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Update analytics.py
Browse files- analytics.py +6 -6
analytics.py
CHANGED
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@@ -6,7 +6,7 @@ import os
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def write_to_csv_departments(time,teachingscore,teaching,courseContentscore,courseContent,
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examinationscore,examination,labWorkscore,labWork,libraryFacilitiesscore,
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libraryFacilities,extraCurricularscore,extraCurricular):
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csv_file_path = '
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with open(csv_file_path, 'r') as f:
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reader = csv.reader(f)
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@@ -26,7 +26,7 @@ def write_to_csv_departments(time,teachingscore,teaching,courseContentscore,cour
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def write_to_csv_teachers(teacher1,teacher1score,teacher2,teacher2score,teacher3,teacher3score,
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teacher4,teacher4score,teacher5,teacher5score,teacher6,teacher6score):
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csv_file_path = '
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with open(csv_file_path, 'r') as f:
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reader = csv.reader(f)
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for header in reader:
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@@ -46,7 +46,7 @@ def write_to_csv_teachers(teacher1,teacher1score,teacher2,teacher2score,teacher3
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def get_counts():
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csv_file_path = '
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df = pd.read_csv(csv_file_path)
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index = df.index
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no_of_students = len(index)
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@@ -100,13 +100,13 @@ def get_counts():
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li
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def get_tables():
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csv_file_path = '
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df = pd.read_csv(csv_file_path)
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df = df.tail(5)
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return [df.to_html(classes='data')]
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def get_titles():
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csv_file_path = '
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df = pd.read_csv('
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return df.columns.values
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def write_to_csv_departments(time,teachingscore,teaching,courseContentscore,courseContent,
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examinationscore,examination,labWorkscore,labWork,libraryFacilitiesscore,
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libraryFacilities,extraCurricularscore,extraCurricular):
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csv_file_path = 'dataset/database.csv'
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with open(csv_file_path, 'r') as f:
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reader = csv.reader(f)
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def write_to_csv_teachers(teacher1,teacher1score,teacher2,teacher2score,teacher3,teacher3score,
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teacher4,teacher4score,teacher5,teacher5score,teacher6,teacher6score):
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csv_file_path = 'dataset/teacherdb.csv'
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with open(csv_file_path, 'r') as f:
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reader = csv.reader(f)
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for header in reader:
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def get_counts():
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csv_file_path = 'dataset/database.csv'
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df = pd.read_csv(csv_file_path)
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index = df.index
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no_of_students = len(index)
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li
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def get_tables():
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csv_file_path = 'dataset/database.csv'
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df = pd.read_csv(csv_file_path)
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df = df.tail(5)
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return [df.to_html(classes='data')]
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def get_titles():
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csv_file_path = 'dataset/database.csv'
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df = pd.read_csv('dataset/database.csv')
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return df.columns.values
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